Shruti Sinha
Impact in
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- Cancer Genomics and Diagnostics
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- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 3
- Bioinformatics and Genomic Networks 2
- Co-authors
- Francesca D. Ciccarelli (3 shared papers)Matteo D’Antonio (1 shared paper)Fabio Iannelli (2 shared papers)Sam Gandy (1 shared paper)Jeroen Knops (1 shared paper)Ivan Lieberburg (1 shared paper)Paul Greengard (1 shared paper)Geneviève Pépin (1 shared paper)
- Journals
- Nature Communications (3 papers)PeerJ (1 paper)BMC Medicine (1 paper)FEBS Journal (1 paper)Journal of Global Health (1 paper)
- Partner nations
- IndiaItalyUnited Arab Emirates
In The Last Decade
Shruti Sinha
24 papers receiving 263 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 57
- Molecular Biology 124
- Oncology 49
- Cell Biology 25
- Hepatology 12
Countries citing papers authored by Shruti Sinha
This map shows the geographic impact of Shruti Sinha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shruti Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruti Sinha more than expected).
Fields of papers citing papers by Shruti Sinha
This network shows the impact of papers produced by Shruti Sinha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shruti Sinha. The network helps show where Shruti Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Shruti Sinha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 43 | |
| 2 | 2014 | 39 | |
| 3 | 2011 | 31 | |
| 4 | 2017 | 22 | |
| 5 | 1993 | 22 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2018 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2025 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Shruti Sinha
Shruti Sinha is a scholar working on Molecular Biology, Plant Science, Genetics, Surgery and Epidemiology, having authored 26 papers that have together received 264 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Genetic factors in colorectal cancer (2 papers), Skin and Cellular Biology Research (2 papers), Cellular Mechanics and Interactions (2 papers), Oral Health Pathology and Treatment (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Cancer Research (57 citations), Molecular Biology (124 citations), Oncology (49 citations), Cell Biology (25 citations) and Hepatology (12 citations). Shruti Sinha has collaborated with scholars based in India, Italy and United Arab Emirates. Frequent co-authors include Francesca D. Ciccarelli, Matteo D’Antonio, Fabio Iannelli, Sam Gandy, Jeroen Knops, Ivan Lieberburg, Paul Greengard, Geneviève Pépin, Manuel Rodriguez‐Justo and Thanos P. Mourikis. Their work appears in journals such as Nature Communications, PeerJ, BMC Medicine, FEBS Journal and Journal of Global Health.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.